sevDesk MCP Server for OpenAI Agents SDK 15 tools — connect in under 2 minutes
The OpenAI Agents SDK enables production-grade agent workflows in Python. Connect sevDesk through Vinkius and your agents gain typed, auto-discovered tools with built-in guardrails. no manual schema definitions required.
ASK AI ABOUT THIS MCP SERVER
Vinkius supports streamable HTTP and SSE.
import asyncio
from agents import Agent, Runner
from agents.mcp import MCPServerStreamableHttp
async def main():
# Your Vinkius token. get it at cloud.vinkius.com
async with MCPServerStreamableHttp(
url="https://edge.vinkius.com/[YOUR_TOKEN_HERE]/mcp"
) as mcp_server:
agent = Agent(
name="sevDesk Assistant",
instructions=(
"You help users interact with sevDesk. "
"You have access to 15 tools."
),
mcp_servers=[mcp_server],
)
result = await Runner.run(
agent, "List all available tools from sevDesk"
)
print(result.final_output)
asyncio.run(main())
* Every MCP server runs on Vinkius-managed infrastructure inside AWS - a purpose-built runtime with per-request V8 isolates, Ed25519 signed audit chains, and sub-40ms cold starts optimized for native MCP execution. See our infrastructure
About sevDesk MCP Server
Grant your conversational AI (like Claude or Cursor) the power of a dedicated German accounting clerk. The sevDesk MCP transforms your LLM into a sophisticated financial nexus capable of creating invoices, querying past-due credit notes, recording vouchers, and tracking your CRM endpoints dynamically. Stop wrestling with browser-based accounting dashboards and let your AI manage your bookkeeping automatically.
The OpenAI Agents SDK auto-discovers all 15 tools from sevDesk through native MCP integration. Build agents with built-in guardrails, tracing, and handoff patterns. chain multiple agents where one queries sevDesk, another analyzes results, and a third generates reports, all orchestrated through Vinkius.
What you can do
- Client & Supplier CRM Mastery — Read the entire client database via
list_contacts, retrieve detailed metadata for specific IDs (get_contact), or seamlessly register brand new vendors viacreate_contact - Autonomous Invoicing & Orders — Fetch paginated ledger lists using
list_invoicesorlist_orders, and delve deep into line items, calculated taxes, and due statuses directly usingget_invoiceandget_order - Inventory & Service Architecture — Monitor available billable components via
list_parts, inspect standard pricing, and introduce novel catalog options autonomously viacreate_part - Accounting Governance — Keep strict tabs on your chart of accounts with
list_accounting_typeswhile verifying associated business inlets securely usinglist_bank_accounts - Voucher & Credit Auditing — Consolidate physical receipts through
list_vouchersand trace structural adjustments flawlessly by scanninglist_credit_notes
The sevDesk MCP Server exposes 15 tools through the Vinkius. Connect it to OpenAI Agents SDK in under two minutes — no API keys to rotate, no infrastructure to provision, no vendor lock-in. Your configuration, your data, your control.
How to Connect sevDesk to OpenAI Agents SDK via MCP
Follow these steps to integrate the sevDesk MCP Server with OpenAI Agents SDK.
Install the SDK
Run pip install openai-agents in your Python environment
Replace the token
Replace [YOUR_TOKEN_HERE] with your Vinkius token from cloud.vinkius.com
Run the script
Save the code above and run it: python agent.py
Explore tools
The agent will automatically discover 15 tools from sevDesk
Why Use OpenAI Agents SDK with the sevDesk MCP Server
OpenAI Agents SDK provides unique advantages when paired with sevDesk through the Model Context Protocol.
Native MCP integration via `MCPServerSse`, pass the URL and the SDK auto-discovers all tools with full type safety
Built-in guardrails, tracing, and handoff patterns let you build production-grade agents without reinventing safety infrastructure
Lightweight and composable: chain multiple agents and MCP servers in a single pipeline with minimal boilerplate
First-party OpenAI support ensures optimal compatibility with GPT models for tool calling and structured output
sevDesk + OpenAI Agents SDK Use Cases
Practical scenarios where OpenAI Agents SDK combined with the sevDesk MCP Server delivers measurable value.
Automated workflows: build agents that query sevDesk, process the data, and trigger follow-up actions autonomously
Multi-agent orchestration: create specialist agents. one queries sevDesk, another analyzes results, a third generates reports
Data enrichment pipelines: stream data through sevDesk tools and transform it with OpenAI models in a single async loop
Customer support bots: agents query sevDesk to resolve tickets, look up records, and update statuses without human intervention
sevDesk MCP Tools for OpenAI Agents SDK (15)
These 15 tools become available when you connect sevDesk to OpenAI Agents SDK via MCP:
create_contact
Category 3 for customers, 4 for suppliers. Creates a new contact (customer or supplier) in sevDesk
create_part
Creates a new part or service in the catalog
get_contact
Retrieves details for a specific contact
get_credit_note
Retrieves details for a specific credit note
get_invoice
Retrieves details for a specific invoice, including line items and tax
get_order
Retrieves details for a specific order
get_part
Retrieves details for a specific part
list_accounting_types
Lists all accounting types (Chart of Accounts)
list_bank_accounts
Lists company bank accounts
list_contacts
Lists all contacts (customers, suppliers) in sevDesk
list_credit_notes
Lists all credit notes
list_invoices
Lists all invoices with embedded contact data
list_orders
Lists all sales orders
list_parts
Lists all parts (products and services) in the catalog
list_vouchers
Lists all vouchers (incoming/outgoing receipts)
Example Prompts for sevDesk in OpenAI Agents SDK
Ready-to-use prompts you can give your OpenAI Agents SDK agent to start working with sevDesk immediately.
"Extract the details of invoice #18742 and summarize its line items alongside the associated contact name."
"List all currently existing bank accounts natively integrated using the core config."
Troubleshooting sevDesk MCP Server with OpenAI Agents SDK
Common issues when connecting sevDesk to OpenAI Agents SDK through the Vinkius, and how to resolve them.
MCPServerStreamableHttp not found
pip install --upgrade openai-agentsAgent not calling tools
sevDesk + OpenAI Agents SDK FAQ
Common questions about integrating sevDesk MCP Server with OpenAI Agents SDK.
How does the OpenAI Agents SDK connect to MCP?
MCPServerSse(url=...) to create a server connection. The SDK auto-discovers all tools and makes them available to your agent with full type information.Can I use multiple MCP servers in one agent?
MCPServerSse instances to the agent constructor. The agent can use tools from all connected servers within a single run.Does the SDK support streaming responses?
Connect sevDesk with your favorite client
Step-by-step setup guides for every MCP-compatible client and framework:
Anthropic's native desktop app for Claude with built-in MCP support.
AI-first code editor with integrated LLM-powered coding assistance.
GitHub Copilot in VS Code with Agent mode and MCP support.
Purpose-built IDE for agentic AI coding workflows.
Autonomous AI coding agent that runs inside VS Code.
Anthropic's agentic CLI for terminal-first development.
Python SDK for building production-grade OpenAI agent workflows.
Google's framework for building production AI agents.
Type-safe agent development for Python with first-class MCP support.
TypeScript toolkit for building AI-powered web applications.
TypeScript-native agent framework for modern web stacks.
Python framework for orchestrating collaborative AI agent crews.
Leading Python framework for composable LLM applications.
Data-aware AI agent framework for structured and unstructured sources.
Microsoft's framework for multi-agent collaborative conversations.
Connect sevDesk to OpenAI Agents SDK
Get your token, paste the configuration, and start using 15 tools in under 2 minutes. No API key management needed.